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What is RiskCogs?

RiskCogs functions as a specialized module for assessing payment fraud risks, designed specifically for online businesses. It evaluates an array of signals, such as payment data, device information, identity verification, IP addresses, and user activity, to produce clear risk scores and contextual insights related to associated accounts during transaction assessments. Fraud detection and operations teams have the capability to scrutinize signals and linked accounts in a review queue, establish customizable thresholds and rules, and test rule adjustments in a shadow mode before full deployment. Developers can leverage a browser SDK and server API to relay transaction information and receive evaluations, while webhooks enable the communication of assessment events, and a feedback API supports the reporting of subsequent results like chargebacks. RiskCogs is designed to seamlessly integrate risk-related information with current payment processing systems, allowing merchants to determine their own decision-making thresholds and responses. The applications of this module range from payment fraud detection to card testing, account takeovers, multi-accounting issues, and subscription fraud. Furthermore, the features provided to users and the level of access granted are determined by the specific configuration of the account. Consequently, businesses that adopt RiskCogs can significantly bolster their strategies for preventing fraud while fostering a more secure online transaction environment. By doing so, they can better protect their assets and enhance customer trust.

What is PingOne Protect?

Protect your accounts from takeovers, fraudulent registrations, and the fatigue associated with multifactor authentication by utilizing PingOne Protect's extensive capabilities. This advanced solution evaluates multiple attack vectors, assigns risk levels, and delivers insightful data, facilitating the deployment of countermeasures that effectively block potential dangers while allowing legitimate users to authenticate with ease. By employing intelligence-based policies, PingOne Protect synthesizes results from various risk factors to create a holistic risk score. This score is associated with specific policies that determine the amount of friction experienced by users during interactions, including methods such as CAPTCHA, password resets, selfie verifications, and push notifications. To maximize the accuracy of the predictors, consolidate them, incorporate signals from outside sources, and apply overrides when necessary. The predictors include bot detection, IP velocity, user velocity, unusual velocity patterns, discrepancies in user location, IP reputation assessments, use of anonymous networks, behavioral risks, user-based risk models, detection of new devices, identification of suspicious devices, and custom or third-party predictors, all of which contribute to a robust risk management strategy. By implementing these comprehensive strategies, organizations can greatly enhance their defenses against a wide range of cyber threats and maintain user trust in their security measures. This proactive approach not only secures sensitive information but also improves the overall user experience by minimizing disruptions.

Media

No images available

Media

Integrations Supported

Integrations Supported

Abstract Security
Knak
Motileo
Streamline AI
Youverse

API Availability

Has API

API Availability

Pricing Information

€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Orsun Tech OÜ

Date Founded

2026

Company Location

Estonia

Company Website

riskcogs.com

Company Facts

Organization Name

Ping Identity

Date Founded

2002

Company Location

United States

Company Website

www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html

Categories and Features

Fraud Detection

Not specified

Categories and Features

Fraud Detection

Not specified

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